THE DIRECT EFFECT OF COMMUNITY-LEVEL RISK FACTORS ON LUNG CANCER INCIDENCE IN FOUR NEW ENGLAND STATES

Abstract Lung cancer is the most common cancer globally and 70% of diagnoses are among the 65+ population. This study identifies what town-level risk factors are contributing to geographic disparities in 65+ lung cancer in N=796 towns in Connecticut, Massachusetts, New Hampshire, and Rhode Island. Multiple spatial-based analyses (e.g., Moran’s I, Getis-Ord Gi*, mapping) were conducted before running a series of spatial regression models to determine the association between town-level risk factors (i.e., environmental exposures, respiratory conditions prevalence, education rates, smoke free legislation) and lung cancer incidence. Mapping and Moran’s I test suggested the 65+ rates of lung cancer in our sample were non-randomly distributed and clusters of high and low rates were present. A hot spot analysis was conducted in ArcMap 10.8 which identified several significant clusters of 65+ lung cancer. Spatial regression models showed that community rates of comorbid respiratory conditions (65+ asthma, COPD, and tobacco use disorder (TUD)) increased lung cancer incidence by 7%, while increasing ozone emissions were directly associated with a 10% increase in incidence. Comprehensive smoke free legislation coverage was significantly associated with lung cancer incidence, but no increasing or decreasing relationship was found. No effects were found for the percentage of 65+ with low education, or 60+ who were current or former smokers. Spatial regression models allow for results which are specific to the geographic sample used and this study suggests that comorbid respiratory conditions and ozone emissions are directly associated with increased rates of 65+ lung cancer incidence in our sample.

public transportation, and social cohesion mediate the association?The sample consisted of 710 New York City residents aged 65 or older.Based on respondents' census tracts, individual-level data were merged with neighborhood data obtained from the American Community Survey.local statistics were estimated by GeoDa 1.20 to examine the spatial distribution and significant clusters of generifying neighborhoods across New York City.ArcGIS 10.1 was then used to produce maps.To address both research questions, logistic regressions and mediation analyses were conducted.Regressions revealed that living in generifying neighborhoods was significantly associated with a greater risk of food insecurity, even after adjusting for demographic characteristics and socioeconomic status, such as income.Additionally, mediation analyses suggested that the association was significantly mediated by community social cohesion and the number of healthy food outlets.Findings suggest that neighborhood gentrification presents a salient risk factor for latelife food insecurity in urban areas.Community programs that foster social connections among neighbors and local food assistance programs may be particularly needed in gentrifying neighborhoods to mitigate and reduce the risk of late-life food insecurity.

HEALTH STATUS AND ENVIRONMENTAL FACTORS ASSOCIATED WITH OLDER ADULTS' MOBILITY IN 2021 COMPARED TO 2020
Namkee Choi, University of Texas, Austin, Texas, United States The COVID-19 pandemic has had significant negative impact on life-space mobility of people of all ages around the world.Using the 2019-2021 National Health and Aging Trend Study (N=3,063, age 70+) and the socioecological mobility framework, we examined the changes in the frequency of going outside among U.S. older adults between 2020 (during the pandemic) and 2021 (post-COVID vaccine).Respondents self-reported changes in their frequency of going outside: no change (=about the same), increased frequency (=more often), and decreased frequency (=less often).We then fit multinomial logistic regression to examine the associations of the changes in the frequency of going outside with physical, psychosocial, and cognitive health, environmental (COVID concerns and transportation) factors, and social media use, controlling for the 2020 frequency of going outside.We found that in 2021 compared to 2020, 13% and 16% of those age 70+ reported increased and decreased frequencies, respectively.Increased frequency was associated with social media use.Decreased frequency was associated with poor physical health, depression/anxiety, and perceived memory decline.COVID concerns and transportation problems, as well as female gender, age 90+, and being non-Hispanic Black, were also significant correlates of decreased frequency.In conclusion, most U.S. adults age 70+ appear to have resumed their 2019 level of frequency of going outside in 2021 after the COVID vaccines became available; however, 16% reported decreased frequency of going outside in 2021 compared to 2020.Older adults with physical, mental, and cognitive health challenges need help to increase their frequency of going outside.

NEIGHBORHOOD CHARACTERISTICS AND SLEEP PROBLEMS: MEDIATING ROLES OF HEALTH BEHAVIORS AND MENTAL HEALTH Ethan Siu Leung Cheung, University of Utah, Salt Lake City, Utah, United States
Existing studies have well-documented the relationship between the neighborhood environment and health among older adults.Yet very few have focused on how the neighborhood environment predicts late-life sleep quality.Using longitudinal data (Rounds 7-9) from the National Health and Aging Trends Study, this study examined the cross-sectional and longitudinal associations between neighborhood characteristics (physical disorder and social cohesion) and sleep problems among Americans aged 65 or older, as well as whether health behaviors and mental health mediated these associations.The analytical sample included 4,029 adults aged 65 or older.Logistic regressions with a lagged dependent variable were adopted to test longitudinal associations.Longitudinal mediation analyses were also used to examine the mediation effects of health behaviors and mental health.The results suggested that neighborhood physical disorder was a significant predictor of sleep problems cross-sectionally, whereas social cohesion was both cross-sectionally and longitudinally associated with sleep problems.Moreover, mediation analysis revealed that health behaviors and mental health significantly mediated the longitudinal relationship between social cohesion and sleep problems, though the strength of the indirect effect diminished over time.These findings suggest that neighborhood physical disorder and social cohesion are significant predictors of late-life sleep problems among older Americans.The study also highlighted older adults' resilience and adaptability to adverse neighborhood environments and the long-term health benefits of social cohesion in late-life sleep quality.Therefore, community health interventions that facilitate older adults' physical and social activity, along with mental health programs, may help community-dwelling older adults improve their sleep quality.

THE DIRECT EFFECT OF COMMUNITY-LEVEL RISK FACTORS ON LUNG CANCER INCIDENCE IN FOUR NEW ENGLAND STATES
Taylor Jansen 1 , Qian Song 1 , Kristie Long-Foley 2 , and Elizabeth Dugan 3 , 1. University of Massachusetts Boston, Boston, Massachusetts, United States, 2. Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States, 3. University of Massachusetts, Boston, Boston, Massachusetts, United States Lung cancer is the most common cancer globally and 70% of diagnoses are among the 65+ population.This study identifies what town-level risk factors are contributing to geographic disparities in 65+ lung cancer in N=796 towns in Connecticut, Massachusetts, New Hampshire, and Rhode Island.Multiple spatial-based analyses (e.g., Moran's I, Getis-Ord Gi*, mapping) were conducted before running a series of spatial regression models to determine the association between town-level risk factors (i.e., environmental exposures, respiratory conditions prevalence, education rates, smoke free legislation) and lung cancer incidence.Mapping and Moran's I test suggested the 65+ rates of lung cancer in our sample were non-randomly distributed and clusters of high and low rates were present.A hot spot analysis was conducted in ArcMap 10.8 which identified several significant clusters of 65+ lung cancer.Spatial regression models showed that community rates of comorbid respiratory conditions (65+ asthma, COPD, and tobacco use disorder (TUD)) increased lung cancer incidence by 7%, while increasing ozone emissions were directly associated with a 10% increase in incidence.Comprehensive smoke free legislation coverage was significantly associated with lung cancer incidence, but no increasing or decreasing relationship was found.No effects were found for the percentage of 65+ with low education, or 60+ who were current or former smokers.Spatial regression models allow for results which are specific to the geographic sample used and this study suggests that comorbid respiratory conditions and ozone emissions are directly associated with increased rates of 65+ lung cancer incidence in our sample.The adjustment of population structure and household size is one of the important factors affecting the amount of household energy consumption.Influenced by the deepening of aging degree and the acceleration of aging development, the amount of energy consumption has also produced a relatively obvious change.Based on the provincial panel data from 2008 to 2017 in China, we used fixed effects and random effects models for regression analysis to further analyze the spatial differences and trends of energy consumption quantity distribution, and explore the mechanism of population aging's influence on energy consumption quantity.In addition, we explore the path of population aging affecting energy consumption through intermediary effect analysis.Besides, we also analyzes the aging rate of population, energy consumption and environmental protection policies in different countries.It is found that, under the premise of controlling the influence of other variables, population aging rate has a negative impact on the amount of energy consumption, which is different between urban and rural areas.The increase of population aging rate in urban areas may lead to the increase of energy consumption, while the increase of population aging rate in rural areas may lead to the decrease of energy consumption.Household size and household consumption level are important intermediary variables between population aging and energy consumption.Population aging can indirectly affect energy consumption through affecting household size and household consumption level.

SOCIAL NETWORKS, SOCIAL SUPPORT, SOCIAL ISOLATION, AND LONELINESS
Abstract citation ID: igad104.2377

A SCOPING REVIEW OF LGBTQ+ MULTIGENERATIONAL PROGRAMMING: GAPS AND OPPORTUNITIES
Leyi Zhou, and Angela Perone, University of California, Berkeley, Berkeley, California, United States Extensive research has revealed disparities in health, housing, employment, and economics among LGBTQ+ older adults (Emlet, 2016).However, the LGBTQ+ community has a long-standing tradition of multigenerational support that can potentially alleviate some of these challenges.Innovative caregiving models and non-traditional support systems involving multigenerational networks have emerged during crises such as the AIDS epidemic of the 1980s and 1990s and the recent COVID-19 pandemic (Cahill & Valadéz, 2013;Hafford-Letchfield et al., 2022).Nevertheless, despite the growing attention to LGBTQ+ multigenerational programs, the current state of scholarly research in this area remains uncertain.To address this gap, this scoping review aims to map the literature on intergenerational interventions for the LGBTQ+ community.This study includes peer-reviewed research in English with various study designs related to different categories of intervention, program, or activity that involve LGBTQ+ participants from more than one generation.To ensure accurate and reliable results, we conducted a comprehensive search on seven databases: PsycINFO, PubMed, Web of Science, Scopus, Sociological Abstract, Embase, and CINAHL.After deleting duplicates, 130 peer-reviewed articles were identified.Preliminary findings from the scoping review reveal historical moments when research on multigenerational programming surged, which aligns with pivotal crisis moments in the LGBTQ+ community.It also underscores emerging trends in multigenerational programming, including critical inquiry about what constitutes "multigenerational" and deeper commitment to inclusion of communities of color and transgender communities.These findings provide important insights for practitioners, policymakers, and researchers to strengthen services and support for LGBTQ+ older adults.Having children is a significant life event that causes major changes in social networks.Despite the fact that percentages of childlessness are on the rise worldwide, the connection between childlessness and loneliness in old age is still underresearched.Additionally, the scientific literature frequently draws a line between childlessness that is voluntary and involuntary, while a considerably gray area of reasons for childlessness is present between these two extremes of the continuum.The hypothesis of this study is that there is a moderating effect of reasons for childlessness on the link between childlessness (i.e., having children